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Analyzing the carbon sink effect of forest management

  • Date of declaration:2024-03-28
  • PI:Long-En Li
  • Division:Forest Management Division
Research title
Science and Technology Programs(2023)
KeyWord
carbon sink, Allometric model, Tree height equations, Tree volume equations, Stand structure, Stand diameter distribution, Diameter distribution approach, Maximum likelihood estimation, Natural planting design, Remote sensing,
執行成果摘要
Net Zero Emissions is the global strategy that created for facing with climate crisis. It is an important goal for the whole countries. In the development plan of Net Zero Carbon Emissions, industry always have various methods but still difficult to reduce carbon emission, and finally nuturalized through carbon sink. Among these items, forest carbon sink is a well-known skill that has been developed for many years. In the present for increasing the role of forest carbon sinks, planting trees, strengthening the management of forest to reduce degration caused by carbon emissions, and increasing the growth of plants with tending measures that benefits for carbon sequestration, are good directions that can be made effort. Due to the massive forest area and high diversity in Taiwan, accurate estimation of woods accumulation and Growing change detection are the first skills to achieve the positive affect for carbon sink. In the past twenty years, the rapid develpomemt of Remote sensing provided effective solutions to the estimation of large-scale structure of biomass and carbon sequestration, and Lidar can upgeade the efficiency and accuracy of forest investigation. In 109 to 111, we had tried to develop many kinds of survey and estimation skills, such as woods growth mode, relative relationship mode, forest automatic identification mode, hyperspectral imaging and Lidar volume estimation, etc. This project will be planned to process with forest, stand and individual levels . For forest, we will use multi-scale Remote-aerial Survey to develop carbon sink detecting skill;for standing forest, we will discuss difference carbon sink about the structure of standing forest and integrate documents to construct the structure of high carbon sink benefits;for wood, we will use High-resolution Lidar to build an estimation model for important forest traits, such as height and volume equations. In addition, we will develop the most suitable urban and forest management strategy in this carbon sink issue through the design of high carbon sink functional planting groups. We hope the carbon sink effect of forest management can be analyzed, creating the design of the most suitable management about improving the carbon sequestration and group plantings, as the reference of forest carbon sink research in the future.